منابع مشابه
PSD of UWB Signals
This document studies the Power Spectral Density (PSD) of time-hopping impulse radio (THIR) signals. The ”conventional” TH-IR system with pulse-position modulation and time-hopping multiple access gives rise to spectral lines that either violate the regulations, or require a significant power back-off. To remedy this situation, we propose the use of polarity randomization, which eliminates the ...
متن کاملWeighted Acquisition of UWB Signals Based on Energy Detection
Due to the low complexity and cost characteristics of ultra-wideband (UWB) systems, a weighted acquisition algorithm based on energy detection is proposed in this paper. This method is divided into two steps to acquire the direct path (DP) component. Firstly, weighted energy detection is applied to determine which energy block the DP lies in by generalized likelihood ratio test (GLRT). A sub-op...
متن کاملCompressive sampling based differential detection for UWB impulse radio signals
Noncoherent detectors significantly contribute to the practical realization of the ultrawideband (UWB) impulse-radio (IR) concept, in that they allow avoiding channel estimation and provide highly efficient reception capabilities. Complexity can be reduced even further by resorting to an all-digital implementation, but Nyquist-rate sampling of the received signal is still required. The current ...
متن کاملIMPROVED MULTIUSER DETECTION SCHEMES FOR INTERFERENCE MANAGEMENT IN TH PPM UWB SYSTEM WITH m-ZCZ SEQUENCES
Accommodating many users in a small area is a major issue in the communication system. Frequency spectrum sharing and time sharing are used in the conventional systems. Hence, they have limitation on the capacity of the system. With the advent of spread spectrum, many users can be accommodated within the fixed bandwidth by making use of certain coding properties over the bandwidth. However, thi...
متن کاملOptimum Detection of Deterministic and Random Signals
This paper introduces various methods for the optimum detection of deterministic and random signals in Gaussian noise. The derivation of the detectors is based on the NeymanPearson theorem. We will only deal with Gaussian noise and assume that the probability density function is completely known.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2008
ISSN: 1053-587X
DOI: 10.1109/tsp.2007.909226